What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability?

Montai Health is a privately held, early-stage biotechnology company developing a platform for understanding and leveraging complex molecular interactions within organisms to solve global challenges in human health and sustainability. The company leverages a multidisciplinary approach that integrates tools ranging from machine learning and big data to multi-omics and high-throughput screening.

At Montai, we nurture a bold, spirited and leading-edge culture dedicated to strengthening human health:

  • We are one team with omnidirectional trust, empowered and accountable.
  • We are strong as individuals but stronger as a team and we are committed to excellence.
  • We have a sense of urgency and persistence and we are crazily confident that we can make a difference.
  • We need to be comfortable with the uncomfortable and be rigorous and we recognize that failure is data.
  • We care for diversity in people, thought, personality, opinions, background and distinctiveness.
  • We have a sense of humor to help us manage through our strategic noise.

Position Summary:

We are looking for an MLOps Engineer to join our small and growing team of machine learning scientists & engineers. This person will work within our Computational Modeling team and collaborate with our Data Innovation and Biology teams to:

  • Help create streamlined and reproducible python development workflows for a small team of engineering-focused computational scientists and engineers.
  • Enhance and maintain an internal self-service CI-CD system, supporting a dozen and counting software environments and build artifacts, and a test suite of unit and end-to-end tests.
  • Design, build and maintain a self-service system for deploying internal-facing applications and infrastructure using AWS Cloudformation, including model visualization applications, model-specific interfaces and diagnostic tools, jupyter notebooks, and job status monitors.
  • Optimize our team’s docker containers for size and reuse, managing large python, conda and pydata ecosystem dependency graphs.
  • Help computational scientists understand and maintain their development environments better with documentation and developer tools.
  • Define and deploy policies for internal identity and access management and security.

In this role, the Infrastructure Engineer will support tools and applications built and deployed with technologies such as,

  • Orchestration and Runtime: Docker, ECS, Lambda, EC2
  • Cloud Infrastructure: AWS Cloudformation, AWS CDK
  • CI/CD: Github Actions, AWS CodeBuild
  • Source Control: Git, Github
  • Code: Python, Bash, Javascript
  • Package Management: Conda, Pip, pip-tools

Required Skills/Experience:

  • 5 years applied experience (academic and/or industry)
  • Bachelor’s degree in STEM field
  • At least 3 years of experience developing production-scale software
  • Linux proficiency and bash scripting ability
  • Proficiency in Python
  • Proficiency with Git
  • Experience with at least one database, either relational or NoSQL
  • Ability to communicate effectively and work in a small team

Desired Skills/Experience:

  • Experience in a scientific or healthcare field
  • Experience in a high-growth startup
  • Experience working directly with people with scientific backgrounds

Personal Characteristics:

  • Agility: Ability to work in a high energy organization with evolving goals and deliverables
  • Results Oriented: Self-motivated, curious, accomplishes goals with minimal oversight
  • Communication: Outstanding written and verbal communication skills, ability to work well with colleagues from diverse backgrounds and cultures
  • Authenticity: Ability to voice their opinion and provide insight to the broader team, even when holding a minority or “out of the box” opinion. Ability to thrive with input from a cross-functional team while remaining the unquestioned scientific expert
  • Team player: Desire to routinely interact with and mentor team members

Location: Cambridge, MA

More About Flagship Pioneering

Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since its launch in 2000, the firm has, through its Flagship Labs unit, applied its unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $50B in aggregate value. To date, Flagship has deployed over $2.2B in capital toward the founding and growth of its pioneering companies alongside more than $18B of follow-on investments from other institutions. The current Flagship ecosystem comprises 41 transformative companies, including Axcella Health (NASDAQ: AXLA), Denali Therapeutics (NASDAQ: DNLI), Evelo Biosciences (NASDAQ: EVLO), Foghorn Therapeutics (NASDAQ: FHTX), Indigo Ag, Kaleido Biosciences (NASDAQ: KLDO), Moderna (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), Sana Biotechnology, Seres Therapeutics (NASDAQ: MCRB), and Sigilon Therapeutics (NASDAQ: SGTX).

Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 
Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)
+ Add Another Employment